International Journal on Science and Technology

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Unmasking the Hidden Threat: How AI Can Expose Doping Drug Dealers on the Dark Web

Author(s) dr. Anju choudhary, Rupali Mehta
Country India
Abstract The capability of Artificial Intelligence to analyse datasets, such as Application Program, facilitates the efficient identification of anomalies and irregularities; this enables anti-doping organizations to allocate resources more effectively and prioritize testing based on data-driven insights, thereby enhancing the integrity of competitive sports. This article examines the burgeoning convergence of artificial intelligence (AI) and law enforcement in addressing illicit activities on the dark web, including drug trafficking aimed at young athletes. As doping instances in sports rise, the dark web serves as a marketplace for illegal substances, while AI technologies offer essential tools for monitoring, identifying, and dismantling these criminal networks. The essay examines actual incidents in India, the USA, the UK, and Australia, where law enforcement authorities have effectively utilized AI to combat dark web crimes. The text analyses the emergence of dark web drug trafficking, the legal framework under national and international laws, and the role of artificial intelligence in investigations, as well as the ethical and legal issues presented by this technical solution.
Keywords dark web, doping, artificial intelligence.
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-29
Cite This Unmasking the Hidden Threat: How AI Can Expose Doping Drug Dealers on the Dark Web - dr. Anju choudhary, Rupali Mehta - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2966
DOI https://doi.org/10.71097/IJSAT.v16.i1.2966
Short DOI https://doi.org/g899g4
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